Journal
ELECTRONIC RESEARCH ARCHIVE
Volume 30, Issue 9, Pages 3632-3634Publisher
AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/era.2022185
Keywords
maritime transportation; Shipping Information Modeling (SIM); shipping
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There is a lack of application of academic research in the shipping industry, while shipping companies need decision support tools to lower costs, improve profitability, and reduce environmental impact. Shipping Information Modeling (SIM) systems can bridge this gap.
On one hand, the academia has conducted a considerable amount of research on shipping operations but there are not many matches between academia and industry: little academic research is applied to the industry; on the other hand, shipping companies are in urgent need of decision support tools that can generate informed decisions to lower cost, improve profitability, and reduce environmental footprint. We propose that Shipping Information Modeling (SIM) systems will be able to bridge the gap between academia and industry.
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